5 citations · 9 across the 4 of their papers we have counts for
5 papers
Hypothesis-guided discovery of cognitive algorithms via program refinement
Huiwen Alex Yang, Mark K. Ho, Bill D. Thompson
Developing cognitive models of algorithmic reasoning from behavioral data is a central problem in cognitive science that challenges current methods. Traditional approaches to cogni…
Do Large Language Models Mentalize When They Teach?
Sevan K. Harootonian, Mark K. Ho, Thomas L. Griffiths +2
How do LLMs decide what to teach next: by reasoning about a learner's knowledge, or by using simpler rules of thumb? We test this in a controlled task previously used to study huma…
Building Machines that Learn and Think with People
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt +10
What do we want from machine intelligence? We envision machines that are not just tools for thought, but partners in thought: reasonable, insightful, knowledgeable, reliable, and t…
Exploring the hierarchical structure of human plans via program generation
Carlos G. Correa, Sophia Sanborn, Mark K. Ho +3
Human behavior is often assumed to be hierarchically structured, made up of abstract actions that can be decomposed into concrete actions. However, behavior is typically measured a…
Concept Alignment as a Prerequisite for Value Alignment
Sunayana Rane, Mark Ho, Ilia Sucholutsky +1
Value alignment is essential for building AI systems that can safely and reliably interact with people. However, what a person values -- and is even capable of valuing -- depends o…